基于客票特征数据的我国高速铁路旅客出行行为分析研究

发布时间：2018-04-22 14:31

本文选题：高速铁路 + 客票数据　；参考：《北京交通大学》2012年硕士论文

【摘要】：随着我国高速铁路的不断发展,铁路运输能力不断增加,铁路由卖方市场逐渐向买方市场转变。因而如何吸引客流、增加客流需求、提高上座率、增加铁路收益是铁路客运营销的重点。铁路客运营销工作中非常关键的问题就是对旅客出行行为进行深度分析,通过分析掌握不同层次旅客对客运产品的多样化需求,从而针对各层次旅客设计不同的客运产品,在满足旅客需求的同时增加铁路收益。铁路旅客出行行为分析工作是一个复杂的过程,处于一个信息不断变化、不断更新的复杂系统环境中,涉及铁路开行方案、营销策略、客票销售等多方面。铁路旅客出行行为的特点可以通过铁路客票数据的各种属性来体现,例如购票方式、购票时间等。因此,通过对客票特征数据进行多角度深度挖掘分析,可以分析我国高速铁路旅客出行行为的特点和规律。本论文研究基于我国高速铁路历史客票特征数据,主要从旅客购票行为、旅客出行时刻与旅行时间的关系、旅客价格敏感度等方面分析旅客出行行为,设计旅客出行行为分析的方法和流程。利用Microsoft Office Acess2007及Microsoft Visual Studio2008等工具编程对大量客票数据进行统计和预处理,在预处理数据的基础上根据需要进行提炼总结,以京津城际客运专线和武广高速铁路为例,对旅客出行行为的规律和特点进行对比分析,在此基础上提出我国高速铁路客运营销建议。
[Abstract]:With the development of high-speed railway in China, the capacity of railway transportation is increasing, and the railway is gradually changing from seller's market to buyer's market. Therefore, how to attract passenger flow, increase passenger demand, increase occupancy rate and increase railway revenue are the key points of railway passenger transport marketing. The key problem in railway passenger transport marketing work is to conduct in-depth analysis of passenger travel behavior, through which we can grasp the diversified demands of different levels of passengers on passenger transport products, so as to design different passenger transport products for different levels of passengers. Increase railway revenue while meeting passenger demand. The analysis of railway passenger travel behavior is a complex process, which is in a complex system environment of constantly changing information and updating. It involves railway operation plan, marketing strategy, ticket sales and so on. The characteristics of railway passenger travel behavior can be reflected by the various attributes of railway ticket data, such as ticket purchase method, ticket purchase time and so on. Therefore, the characteristics and rules of passenger travel behavior of high-speed railway in China can be analyzed by analyzing the characteristic data of passenger ticket from various angles and depth mining. Based on the historical ticket characteristics of China's high-speed railway, this paper analyzes passenger travel behavior from the aspects of passenger ticket purchase behavior, passenger travel time and travel time, passenger price sensitivity, and so on. Design the method and flow of passenger travel behavior analysis. By using Microsoft Office Acess2007 and Microsoft Visual Studio2008, a large number of passenger ticket data are analyzed and preprocessed. On the basis of the pre-processing data, the author abstracts and summarizes them according to the needs, taking the Beijing-Tianjin inter-city passenger dedicated line and the Wu-Guangzhou high-speed railway as examples. This paper makes a comparative analysis of the rules and characteristics of passenger travel behavior, and puts forward some suggestions for the marketing of high-speed railway passenger transportation in China.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：U293.13

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